Tejas Parekh

Also affiliated with Norwegian Womens Public Health Association

MedicineEngineeringPhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry”.

Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry

Cardiovascular Research(2021)10.1093/cvr/cvab236

N/A

0DataRank · unranked

41 citations

Robert J.H. Miller, Lien-Hsin Hu, Yuka Otaki, Ananya Singh, Márcio A. Diniz +18 more

Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images

European Journal of Nuclear Medicine and Molecular Imaging(2022)10.1007/s00259-022-05972-w

N/A

0DataRank · unranked

35 citations

Ananya Singh, Yuka Otaki, Balaji Tamarappoo, Paul Kavanagh, Tejas Parekh +17 more

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.105449

N/A

0DataRank · unranked

40 citations

Robert J.H. Miller, Nipun Manral, Tali Sharir, Andrew J. Einstein, Mathews B. Fish +15 more